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Abstract

Spatial orientation is a complex human skill that exhibits a high degree of individual variability. Here, a neural network perspective is applied to delineate the neural basis of this variability. Using a task that isolates the orientation process from spatial navigation, two sources of neural network variability were found to relate to accurate performance in making orientation decisions – network configuration and efficiency. Participants who preferentially recruited the right Supramarginal Gyrus within a task-related network performed better on the task. Global efficiency in a task-related and whole brain network were also found to relate to performance. These results are presented in a tentative model where the underlying functional architecture of a right lateralized anatomical network influences a person’s ability to configure brain networks associated with spatial orientation. The implications of this model are discussed in the context of neurodegenerative disorders and how it can be used in clinical settings.